https://github.com/jiawen-zhu/asymtrack
공식 코드Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking
Papers with Code 아카이브
Visual Tracking
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 10
- 보존된 평가 기록
- 19
Visual Tracking is an essential and actively researched problem in the field of computer vision with various real-world applications such as robotic services, smart surveillance systems, autonomous driving, and human-computer interaction. It refers to the automatic estimation of the trajectory of an arbitrary target object, usually specified by a bounding box in the first frame, as it moves around in subsequent video frames.
Source: Learning Reinforced Attentional Representation for End-to-End Visual Tracking
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jiawen-zhu/vipt
공식 코드https://github.com/jindi-tju/CGMN
공식 코드CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning
https://github.com/jongwon20000/TRACA
공식 코드Context-aware Deep Feature Compression for High-speed Visual Tracking
https://github.com/jovanavidenovic/dam4sam
공식 코드A Distractor-Aware Memory for Visual Object Tracking with SAM2
https://github.com/jzhang2008/L1CFT_ACLKS
공식 코드Part-based Visual Tracking via Structural Support Correlation Filter
https://github.com/kangben258/MCITrack
공식 코드Exploring Enhanced Contextual Information for Video-Level Object Tracking
https://github.com/kangben258/hit
공식 코드Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking
https://github.com/kou-99/zoomtrack
공식 코드ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking
https://github.com/lawrence-cj/ARKitTrack
공식 코드ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data
https://github.com/leeyeehoo/SiamVGG
공식 코드https://github.com/lifeng9472/IBCCF
공식 코드Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation
https://github.com/lifeng9472/STRCF
공식 코드Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking
https://github.com/lishenglana/gdstrack
공식 코드Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking
https://github.com/litinglin/lorat
공식 코드Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
https://github.com/litinglin/swintrack
공식 코드SwinTrack: A Simple and Strong Baseline for Transformer Tracking
https://github.com/liyunfenglyf/cstnet
공식 코드Transformer-based RGB-T Tracking with Channel and Spatial Feature Fusion
https://github.com/lizhou-cs/jointnlt
공식 코드Joint Visual Grounding and Tracking with Natural Language Specification
https://github.com/ljh0v0/fmd-frechet-motion-distance
공식 코드Fréchet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos
https://github.com/lpengyang/freedrag
공식 코드FreeDrag: Feature Dragging for Reliable Point-based Image Editing
https://github.com/marciska/vpc-switched-motion
공식 코드Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories
https://github.com/martin-danelljan/Continuous-ConvOp
공식 코드Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
https://github.com/michael-camilleri/tide
공식 코드Persistent Animal Identification Leveraging Non-Visual Markers
https://github.com/michael-camilleri/tim
공식 코드Persistent Animal Identification Leveraging Non-Visual Markers
https://github.com/mmic-lcl/datasets-and-benchmark-code
공식 코드Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale Dataset
https://github.com/mobiface/mobiface.github.io
공식 코드MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild
https://github.com/mpdmanash/thermal_photometric_calibration
공식 코드Online Photometric Calibration of Automatic Gain Thermal Infrared Cameras
https://github.com/msbrpp/MSBR
공식 코드https://github.com/muhi-zatar/online_gradient_descent_fppt
공식 코드https://github.com/multi-modality-tracking/ckd
공식 코드Breaking Modality Gap in RGBT Tracking: Coupled Knowledge Distillation
https://github.com/murray-wang/characonsist
공식 코드https://github.com/nathanlem1/FusionSORT
공식 코드FusionSORT: Fusion Methods for Online Multi-object Visual Tracking
https://github.com/ning-d/drone_bd_controlarea
공식 코드https://github.com/nju-pcalab/sttrack
공식 코드Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking
https://github.com/norahgreen/citetracker
공식 코드https://github.com/norahgreen/rtracker
공식 코드RTracker: Recoverable Tracking via PN Tree Structured Memory
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.